Contents

Abstract

Model elements matching is the most critical phase during model comparison regarding performance and memory consumption. Further improvement of the current EMF Compare GenericMatchEngine and the adoption and integration of new ideas and concepts in this part of the EMF Compare framework can largely help to get better scalability.

Details

Providing out-of-the-box solutions is essential in today's business, especially if they can be adapted and - if required - customized easily. EMF Compare already provides such experience for usecases of different size and of different complexity. Live model editing with comparison support further raises the expectations - and requirements with regard to performance and scalability.

So an in-depth analysis of the current implementation combined with the adoption of new ideas and/or other existing concepts may be a first step for better integration of EMF Compare with live model editing, even with huge model graphs.

Deliverables

The main objective of this project is to measurably improve the performance of the EMF Compare model matching algorithm. This improvement will be documented by benchmarks performed on provided "Real-World" data.